Topics
FortranLanguage
A large class of scientific and engineering applications may be classified as irregular and loosely synchronous from the perspective of parallel processing. We present a partial classification of such problems. This classification has motivated us to enhance Fortran D to provide language support for irregular, loosely synchronous problems. We present techniques for parallelization of such problems in the context of Fortran D
Irregular computation problems underlie many important scientific applications. Although these probl...
In this paper, we present the first, preliminary results of HPF/Fortran-D language analysis based on...
This paper studies howwell automatic parallelization techniques work on a collection of real codes w...
A large class of scientific and engineering applications may be classified as irregular and loosely ...
We present a general data parallel formulation for highly irregular problems in High Performance For...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...
Abstract. A problem is irregular if its solution requires the computa-tion of some properties for ea...
A significant amount of software research for developing programming environments for distributed--m...
In this paper, some automatic parallelization and opti-mization techniques for irregular scientific ...
Automatic parallelization is usually believed to be less effective at exploiting implicit parallelis...
Data-parallel languages, such as H scIGH P scERFORMANCE F scORTRAN or F scORTRAN D, provide a machin...
This paper presents methods that make it possible to efficiently support irregular problems using da...
Parallel computing promises several orders of magnitude increase in our ability to solve realistic c...
Languages such as Fortran D provide irregular distribution schemes that can efficiently support irre...
Irregular computation problems underlie many important scientific applications. Although these probl...
In this paper, we present the first, preliminary results of HPF/Fortran-D language analysis based on...
This paper studies howwell automatic parallelization techniques work on a collection of real codes w...
A large class of scientific and engineering applications may be classified as irregular and loosely ...
We present a general data parallel formulation for highly irregular problems in High Performance For...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...
Abstract. A problem is irregular if its solution requires the computa-tion of some properties for ea...
A significant amount of software research for developing programming environments for distributed--m...
In this paper, some automatic parallelization and opti-mization techniques for irregular scientific ...
Automatic parallelization is usually believed to be less effective at exploiting implicit parallelis...
Data-parallel languages, such as H scIGH P scERFORMANCE F scORTRAN or F scORTRAN D, provide a machin...
This paper presents methods that make it possible to efficiently support irregular problems using da...
Parallel computing promises several orders of magnitude increase in our ability to solve realistic c...
Languages such as Fortran D provide irregular distribution schemes that can efficiently support irre...
Irregular computation problems underlie many important scientific applications. Although these probl...
In this paper, we present the first, preliminary results of HPF/Fortran-D language analysis based on...
This paper studies howwell automatic parallelization techniques work on a collection of real codes w...
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